by regalouisei· code credited to Anton Berlin, 2022
This indicator calculates and displays the empirical probability distribution of transformed market data alongside theoretical distributions in a separate pane.
1Copy the scriptPress Copy script above. It reads the file straight from GitHub.
2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
3Paste over the templateCreate a new indicator, select all of the template text and paste. Press Save and give it a name.
4Add it to the chartPress Add to chart, then adjust the settings with the gear icon next to its name.
Source Code
The code stays on GitHub. The author has not published this script under an open licence, so ForexR does not show its code. Copy script reads the file straight from GitHub into your clipboard, so you can still try it on your own chart. Ask the author before reusing the code anywhere else.
Overview
Probability Distribution Histogram compares empirical bar frequencies against theoretical models like normal or Laplace distributions. Users can configure data transformation methods, custom bin counts and widths, top and bottom trimming, and historical lookback windows or specific date ranges. The tool also provides visual highlighting for the bin containing the current price point and calculates statistical metrics including sample moments, quantiles, and spread.
Empirical versus theoretical distribution comparison
Configurable data transformation and trimming options
The inputs you can change from the gear icon on the chart. Defaults are the author's.
Setting
Type
Default
Variable
Input Data to Plot
source
close
src
Data Transformation Method
string
TRANSFORM_LOG_PERC_CHANGE
data_transform_method
% to Trim from the TOP of the Data [0 to 100]
float
0
trim_from_top
% to Trim from the BOTTOM of the Data [0 to 100]
float
0
trim_from_bottom
Lookback Window [0 = All Chart Data]
int
0
lookback_window
Only Use Data From Below Date/Time Range
bool
false
use_date_time_range
Start Date/Time
time
timestamp("2021-01-01 00:00:00")
time_start
End Date/Time
time
timestamp("2022-12-31 00:00:00")
time_end
Number of Bins [1 to 50]
int
30
bins
Custom Bin Width
float
0
custom_bin_width
Bar Resolution [1 to 50]
int
50
Bar Resolution [1 to 50]
Height (% of Panel) [33 to 100]
float
60
row_height
Show all 22 settings
Setting
Type
Default
Variable
Base Color
color
color.white
clr_hist
Empirical Distribution Bar Color
color
color.new(color.blue, transp = 10)
clr_distr_bar
Theoretical Distribution for Comparison
string
DISTR_NORM
theoretical_distr
Theoretical Distribution Bar Color
color
color.rgb(63, 63, 63, transp = 10)
clr_theoretical_bar
Top Row X-Axis Label Color - Positive Values
color
color.rgb(155, 255, 135, transp = 0)
clr_lbl_pos_num
Top Row X-Axis Label Color - Negative Values
color
color.rgb(255, 155, 135, transp = 0)
clr_lbl_neg_num
Font Size
string
size.tiny
font_size
Top Row X-Axis Label Precision [0 to 10]
int
4
top_row_precision
Highlight Bin for Current Data Point?
bool
true
highlight_cur_bin
Highlighted Bin Color
color
color.new(color.yellow, transp = 10)
clr_highlight_cur_bin
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.
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